Quantitative susceptibility mapping (QSM) is a new magnetic resonance imaging (MRI) technique, which provides a non-invasive way to measure the spatial distribution of magnetic susceptibility. In brain tissue, the susceptibility can originate from several biomaterials and molecules such as iron, myelin, calcium, deoxyhemoglobin, etc. The state and concentration of these molecules may change with brain developmental and aging processes or the pathological processes of neurodegenerative diseases, e.g., Parkinson’s disease, Alzheimer's disease, multiple sclerosis. Furthermore, QSM improves the visualization of deep gray matters, such as subthalamic nucleus (STN) and globus pallidus pars internus (GPi). Its application in deep brain stimulation (DBS) surgery has the potential to accurately locate the electrode targets and study the outcome of stimulation on different subnuclei. Consequently, QSM has been increasingly recognized as a useful tool in the neuroscience field. Despite its great potential, QSM reconstruction is challenging. Although many methods especially deep-learning-based strategies have been developed, more advanced methodologies are still needed to promote the QSM technique including improving the quantification accuracy, simplifying preprocessing steps, achieving the quantification of paramagnetic and diamagnetic susceptibility in the sub-voxel scale, etc.
The purpose of this research topic is to encourage the proposal of advanced methodologies related to the QSM technique and the application of QSM in human brain neuroscience. We hope this research topic will help to better understand our brain and brain diseases.
The sub-themes of this topic include but are not limited to the following:
1) Novel methods that facilitate the progress of QSM technology.
2) Potential applications of QSM in brain development and aging.
3) Analysis of susceptibility using QSM in different brain regions or the whole brain between patients and healthy controls to find biomarkers for neurodegenerative diseases or try to explain their pathogenesis.
4) Applications of QSM in studying pathological processes of brain diseases that contribute to disease classification and early diagnosis.
5) Applications of QSM in investigating DBS mechanism, predicting DBS outcome, and guiding DBS preoperative planning.
6) High-resolution and high-field ex vivo QSM scanning to better characterize susceptibility properties of diseased tissue.
Quantitative susceptibility mapping (QSM) is a new magnetic resonance imaging (MRI) technique, which provides a non-invasive way to measure the spatial distribution of magnetic susceptibility. In brain tissue, the susceptibility can originate from several biomaterials and molecules such as iron, myelin, calcium, deoxyhemoglobin, etc. The state and concentration of these molecules may change with brain developmental and aging processes or the pathological processes of neurodegenerative diseases, e.g., Parkinson’s disease, Alzheimer's disease, multiple sclerosis. Furthermore, QSM improves the visualization of deep gray matters, such as subthalamic nucleus (STN) and globus pallidus pars internus (GPi). Its application in deep brain stimulation (DBS) surgery has the potential to accurately locate the electrode targets and study the outcome of stimulation on different subnuclei. Consequently, QSM has been increasingly recognized as a useful tool in the neuroscience field. Despite its great potential, QSM reconstruction is challenging. Although many methods especially deep-learning-based strategies have been developed, more advanced methodologies are still needed to promote the QSM technique including improving the quantification accuracy, simplifying preprocessing steps, achieving the quantification of paramagnetic and diamagnetic susceptibility in the sub-voxel scale, etc.
The purpose of this research topic is to encourage the proposal of advanced methodologies related to the QSM technique and the application of QSM in human brain neuroscience. We hope this research topic will help to better understand our brain and brain diseases.
The sub-themes of this topic include but are not limited to the following:
1) Novel methods that facilitate the progress of QSM technology.
2) Potential applications of QSM in brain development and aging.
3) Analysis of susceptibility using QSM in different brain regions or the whole brain between patients and healthy controls to find biomarkers for neurodegenerative diseases or try to explain their pathogenesis.
4) Applications of QSM in studying pathological processes of brain diseases that contribute to disease classification and early diagnosis.
5) Applications of QSM in investigating DBS mechanism, predicting DBS outcome, and guiding DBS preoperative planning.
6) High-resolution and high-field ex vivo QSM scanning to better characterize susceptibility properties of diseased tissue.
